Method for measuring the transpiration resistance of fruit and vegetables

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES MethodsX Pub Date : 2024-11-16 DOI:10.1016/j.mex.2024.103058
Manfred Linke, Tuany Gabriela Hoffmann, Akshay D. Sonawane, Guido Rux, Pramod V. Mahajan
{"title":"Method for measuring the transpiration resistance of fruit and vegetables","authors":"Manfred Linke,&nbsp;Tuany Gabriela Hoffmann,&nbsp;Akshay D. Sonawane,&nbsp;Guido Rux,&nbsp;Pramod V. Mahajan","doi":"10.1016/j.mex.2024.103058","DOIUrl":null,"url":null,"abstract":"<div><div>This investigation explores the intricate relationship between postharvest quality losses in fruit and vegetables and the dynamic interplay of transpiration and respiration activities. It underscores the profound impact of inherent produce properties and postharvest environmental conditions on transpiration, inducing changes in both external appearance and internal quality, notably wilting. Despite their common use, produce-specific transpiration coefficients encounter limitations due to diverse assumptions in calculations. Surface conditions intricately link produce and air properties, necessitating a comprehensive understanding. Horticultural products, with high water content, undergo continuous water loss through transpiration, driven by the water potential difference between the product and ambient air. Transpiration encompasses tissue and boundary layer resistances, influenced by plant tissue properties and external factors. Fruits experiencing drought stress exhibit elevated tissue resistance, serving as a protective mechanism. Concurrently, boundary layer resistance, influenced by external parameters, significantly shapes postharvest behaviour. To address these complexities, a novel method developed allows separate analysis of produce properties, climate, and flow conditions. This innovative approach enhances the understanding of transpiration behaviour, providing a foundation for improved postharvest practices, technical configurations, and quality maintenance strategies.<ul><li><span>•</span><span><div>Direct method for tissue resistance and boundary layer resistance determination for fruit and vegetables.</div></span></li><li><span>•</span><span><div>Non-destructive method to optimize postharvest by using produce as a sensor to ensure quality.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"13 ","pages":"Article 103058"},"PeriodicalIF":1.6000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016124005090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

This investigation explores the intricate relationship between postharvest quality losses in fruit and vegetables and the dynamic interplay of transpiration and respiration activities. It underscores the profound impact of inherent produce properties and postharvest environmental conditions on transpiration, inducing changes in both external appearance and internal quality, notably wilting. Despite their common use, produce-specific transpiration coefficients encounter limitations due to diverse assumptions in calculations. Surface conditions intricately link produce and air properties, necessitating a comprehensive understanding. Horticultural products, with high water content, undergo continuous water loss through transpiration, driven by the water potential difference between the product and ambient air. Transpiration encompasses tissue and boundary layer resistances, influenced by plant tissue properties and external factors. Fruits experiencing drought stress exhibit elevated tissue resistance, serving as a protective mechanism. Concurrently, boundary layer resistance, influenced by external parameters, significantly shapes postharvest behaviour. To address these complexities, a novel method developed allows separate analysis of produce properties, climate, and flow conditions. This innovative approach enhances the understanding of transpiration behaviour, providing a foundation for improved postharvest practices, technical configurations, and quality maintenance strategies.
  • Direct method for tissue resistance and boundary layer resistance determination for fruit and vegetables.
  • Non-destructive method to optimize postharvest by using produce as a sensor to ensure quality.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
测量水果和蔬菜蒸腾阻力的方法
这项研究探讨了水果和蔬菜采后质量损失与蒸腾作用和呼吸作用的动态相互作用之间的复杂关系。它强调了农产品的固有特性和采后环境条件对蒸腾作用的深远影响,从而引起外观和内部质量的变化,尤其是萎蔫。尽管农产品专用蒸腾系数被普遍使用,但由于计算中的假设条件不同,该系数也存在局限性。表面条件将农产品和空气特性错综复杂地联系在一起,因此需要全面了解。园艺产品含水量高,在产品和环境空气水势差的作用下,会通过蒸腾作用不断失水。蒸腾作用包括组织阻力和边界层阻力,受植物组织特性和外部因素的影响。遭遇干旱胁迫的果实会表现出较高的组织阻力,这是一种保护机制。同时,边界层阻力受外部参数影响,对采后行为产生重大影响。为解决这些复杂问题,我们开发了一种新方法,可对农产品特性、气候和流动条件进行单独分析。这种创新方法增强了对蒸腾作用的理解,为改进采后实践、技术配置和质量维护策略奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
MethodsX
MethodsX Health Professions-Medical Laboratory Technology
CiteScore
3.60
自引率
5.30%
发文量
314
审稿时长
7 weeks
期刊介绍:
期刊最新文献
A method to enhance privacy preservation in cloud storage through a three-layer scheme for computational intelligence in fog computing Method for measuring the transpiration resistance of fruit and vegetables Deep learning-based classification of alfalfa varieties: A comparative study using a custom leaf image dataset Evaluative comparison of machine learning algorithms for stutter detection and classification Optimized Methyl methacrylate embedding of small and large undecalcified bones.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1